Pre-game prop analysis powered by recent player performance. Every prop graded before tipoff.
| # | Sport | Player | Matchup | Stat | Line | Odds | L5 Avg | Edge | Hit | Trend | Score | Grade | Final | Over | Under | Books |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 401 | MLB | Ty France 10 games | SD vs TOR@SDP | H | 0.5 | -160 | 0.6 | +0.1 | 2/5 | +0 | 33 | F | 2.0 | WIN | LOSS | |
| 402 | MLB | Adley Rutschman 10 games | BAL vs KCR@BAL | H | 1.5 | +190 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 403 | MLB | Alec Bohm 10 games | PHI vs PHI@DET | RBI | 0.5 | +213 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 404 | MLB | Alec Burleson 10 games | STL vs ATL@STL | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 405 | MLB | Alejandro Kirk 10 games | TOR vs TOR@SDP | RBI | 0.5 | +237 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 406 | MLB | Alika Williams 10 games | OAK vs ATHLETICS@ | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 407 | MLB | Andres Gimenez 10 games | TOR vs TOR@SDP | H | 0.5 | -125 | 0.4 | -0.1 | 2/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 408 | MLB | Andy Pages 10 games | LAD vs ARI@LAD | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 409 | MLB | Anthony Seigler 10 games | BOS vs BOS@NYM | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 410 | MLB | Anthony Seigler 10 games | BOS vs BOS@NYM | RBI | 0.5 | +279 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 411 | MLB | Austin Riley 10 games | ATL vs ATL@STL | RBI | 0.5 | +185 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 412 | MLB | Blaze Alexander 10 games | BAL vs KCR@BAL | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 413 | MLB | Blaze Alexander 10 games | BAL vs KCR@BAL | RBI | 0.5 | +220 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 414 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@BAL | H | 1.5 | +192 | 1.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 415 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@BAL | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 416 | MLB | Brandon Lowe 10 games | PIT vs MIL@PIT | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 417 | MLB | Brandon Nimmo 10 games | TEX vs HOU@TEX | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 418 | MLB | Brayan Rocchio 10 games | CLE vs CLE@MIA | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 419 | MLB | Brett Baty 10 games | NYM vs BOS@NYM | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 420 | MLB | Brice Turang 10 games | MIL vs MIL@PIT | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 421 | MLB | Bryce Eldridge 10 games | SF vs COL@SFG | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 422 | MLB | Bryce Eldridge 10 games | SF vs COL@SFG | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 423 | MLB | Bryson Stott 10 games | PHI vs PHI@DET | RBI | 0.5 | +224 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 424 | MLB | Caleb Durbin 10 games | BOS vs BOS@NYM | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 425 | MLB | Caleb Durbin 10 games | BOS vs BOS@NYM | RBI | 0.5 | +230 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 426 | MLB | Cam Smith 10 games | HOU vs HOU@TEX | H | 0.5 | -145 | 0.6 | +0.1 | 2/5 | -0.8 | 32 | F | 0.0 | LOSS | WIN | |
| 427 | MLB | Carlos Narvaez 10 games | BOS vs BOS@NYM | H | 0.5 | -132 | 0.4 | -0.1 | 2/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 428 | MLB | Carson Benge 10 games | NYM vs BOS@NYM | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 429 | MLB | Carson Kelly 10 games | CHC vs CHC@CIN | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 430 | MLB | Carson Kelly 10 games | CHC vs CHC@CIN | RBI | 0.5 | +157 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 431 | MLB | Casey Schmitt 10 games | SF vs COL@SFG | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 432 | MLB | Casey Schmitt 10 games | SF vs COL@SFG | RBI | 0.5 | +149 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 3.0 | WIN | LOSS | |
| 433 | MLB | Ceddanne Rafaela 10 games | BOS vs BOS@NYM | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 434 | MLB | Cedric Mullins 10 games | TB vs SEA@TBR | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 435 | MLB | Cedric Mullins 10 games | TB vs SEA@TBR | RBI | 0.5 | +215 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 436 | MLB | Chandler Simpson 10 games | TB vs SEA@TBR | RBI | 0.5 | +264 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 437 | MLB | Chase Meidroth 10 games | CWS vs ATHLETICS@ | RBI | 0.5 | +249 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 438 | MLB | Christian Walker 10 games | HOU vs HOU@TEX | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 439 | MLB | Christian Yelich 10 games | MIL vs MIL@PIT | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 440 | MLB | Coby Mayo 10 games | BAL vs KCR@BAL | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 441 | MLB | Cody Bellinger 10 games | NYY vs NYY@WSN | RBI | 0.5 | +145 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 442 | MLB | Colson Montgomery 10 games | CWS vs ATHLETICS@ | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 443 | MLB | Connor Wong 10 games | BOS vs BOS@NYM | RBI | 0.5 | +270 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 444 | MLB | Curtis Mead 10 games | WSH vs NYY@WSN | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 445 | MLB | Dalton Rushing 10 games | LAD vs ARI@LAD | RBI | 0.5 | +181 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 446 | MLB | Daniel Schneemann 10 games | CLE vs CLE@MIA | RBI | 0.5 | +283 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 447 | MLB | Daulton Varsho 10 games | TOR vs TOR@SDP | RBI | 0.5 | +183 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 448 | MLB | Daylen Lile 10 games | WSH vs NYY@WSN | RBI | 0.5 | +243 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 449 | MLB | Derek Hill 10 games | PHI vs PHI@DET | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 450 | MLB | Derek Hill 10 games | PHI vs PHI@DET | RBI | 0.5 | +293 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 1.0 | WIN | LOSS |
Every prop scored on a 0–100 scale before tipoff — built to separate high-confidence plays from coin flips.
The Prop Grader analyzes every available player prop before games begin. It pulls recent performance data — the last 5 to 10 games — and runs each prop through a multi-factor scoring model. The result is a composite score and letter grade that tells you how confident the data is behind any given prop.
Scoring Factors
Edge vs Line (up to 35 pts) — How far the player's recent average sits above or below the prop line. A large positive edge means the player has been consistently clearing this number.
Hit Rate (up to 25 pts) — Out of the last 5 games, how many times did the player actually beat this line? A 5/5 hit rate earns full marks.
Trend (up to 15 pts) — Is the player trending up or down? Compares the last 3 games against the last 10 to detect momentum shifts.
Role Stability (up to 15 pts) — For NBA, this checks minutes consistency. A starter playing 34+ minutes with low variance is more predictable than someone fluctuating between 20 and 35.
Odds Value (up to 10 pts) — Props with plus-money or short juice are more valuable than heavily juiced lines. Better odds mean better expected value.
Grade Scale
A (85–100) — Elite. Strong edge, near-perfect hit rate, positive trend, stable role. These are the highest-confidence props on the board.
B (75–84) — Strong. Most factors are favorable. Solid plays with data backing them up.
C (65–74) — Average. The numbers lean positive but there may be a weak factor pulling the score down.
D (55–64) — Below average. The edge is thin or the recent track record is inconsistent.
F (below 55) — Weak. The data doesn't support this prop. Proceed with caution or skip entirely.
Grades are computed before tipoff using data available at that time. After games complete, each prop is matched against the actual box score and marked as a win, loss, or push.